Business Data Scientist, YouTube Transparency and Compliance Metrics

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.

With a constantly growing and evolving ecosystem, we believe it’s critical not only to use data internally to run our business and drive the decisions we make, but also to help the world understand more about our platform. YouTube’s Claims team sits in the middle of Product, Trust & Safety, Policy, Comms, Sales, Marketing, Legal and many other functions. This group is tasked with defining our policies and developing strategies for how we share information externally as well as the process for validating the data we do share in external reports, press, events, and more.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

• Deliver data for transparency reporting globally, moving from our current report-focused approach to a holistic, scaled production and validation strategy.
• Develop and evaluate new statistical models and metrics for measuring our business in a way that is appropriate for regulatory reporting.
• Curate and validate data to ensure quality standards are met.
  
• Collaborate with stakeholders to understand the domain, business goals, and data infrastructure context.
• Execute against project timelines and milestones to meet evolving business needs, working with cross-functional teams to ensure successful delivery of data products and solutions.

Minimum qualifications:

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
  
• 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
  
• Experience working on data projects or establishing foundational data infrastructure, in the trust and safety, risk and compliance, or a related field.

Preferred qualifications:

• 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.